Current medical research and opinion
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Plain language resources (PLR) are lay summaries of clinical trial results or plain language summaries of publications, in digital/visual/language formats. They aim to provide accurate information in jargon-free, and easy-to-understand language that can meet the health information needs of the general public, especially patients and caregivers. These are typically developed by the study sponsors or investigators, or by national public health bodies, research hospitals, patient organizations, and non-profit organizations. ⋯ PLR are important resources for patients, with promising implications for individual as well as community health. However, they require appropriate oversight and standards to optimize their potential value. Hence, we also highlight recommendations and best practices from our reading of the literature, that aim to minimize these biases.
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Observational Study
Audit of adherence to international guidelines (IDSA) in the treatment of infectious meningitis in pediatric patients in Jordan.
This study aims to audit the adherence of Jordanian medical care staff to the guidelines provided by the Infectious Disease Society of America (IDSA) for managing pediatric patients admitted with suspected cases of meningitis. ⋯ This study revealed a low overall adherence in the management of pediatric patients with meningitis in Jordan. Establishing an antimicrobial stewardship program may improve the outcomes of meningitis infections found in Jordan, and prevent dangerous adverse effects and bacterial resistance.
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Observational Study
The role of lactate-to-albumin ratio to predict 30-day risk of death in patients with sepsis in the emergency department: a decision tree analysis.
Accurately estimating the prognosis of septic patients on arrival in the emergency department (ED) is clinically challenging. The lactate-to-albumin ratio (LAR) has recently been proposed to improve the predictive performance of septic patients admitted to the ICU. ⋯ The LAR can be used as an index to better predict the 30-day risk of death in septic patients.
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This cross-sectional survey was performed to assess the prevalence, factors, and economic burden of non-severe hypoglycemia among insulin-treated type 2 diabetes (T2D) patients in northern Thailand. ⋯ These findings help to individuate those patients who are at higher risk of non-severe hypoglycemia in insulin-treated T2D patients. Compared to the non-hypoglycemia group, patients with hypoglycemia were younger, had longer diabetes duration, lower BMI, received thiazolidinedione and insulin regimens such as premix, basal plus, or basal bolus insulins, and more productivity loss.
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To develop a machine learning-based predictive algorithm to identify patients with type 2 diabetes mellitus (T2DM) who are candidates for initiation of U-500R insulin (U-500R). ⋯ This study successfully developed and validated a machine learning-based algorithm to identify U-500R candidates among patients with T2DM. This may help health care providers and decision-makers to understand important characteristics of patients who could use U-500R therapies which in turn could support policies and guidelines for optimal patient management.